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An, O., Chen, X., Li, Y., Han, Y., Zhang, J. and Shi, H. (2021) An Improved Non-Dominated Sorting Biogeography-Based Optimization Algorithm for the (Hybrid) Multi-Objective Flexible Job-Shop Scheduling Problem. Applied Soft Computing, 99, Article ID: 106869.
https://doi.org/10.1016/j.asoc.2020.106869

has been cited by the following article:

• TITLE: Multi-Objective Multi-Dimensional Transportation: A Case Study to the Flow of the Commodities of the Main Roads to Main Nodes in the North Western Coastal Strip of Egypt

  AUTHORS: Taghreed Abo-Kila, Yousria Abo-Elnaga, Abd Allah A. Mousa

  KEYWORDS: Biogeography Based Optimization, Multiobjective Optimization, Multi-Dimensional Transportation

  JOURNAL NAME: Journal of Geographic Information System, Vol.13 No.3, June 30, 2021

  ABSTRACT: The distribution of merchandises and commodities from source towns to final destinations is a vital issue. The job of transporter’s decisions can be optimized by reformulating the transportation problem as generalization of the classical transportation problems. Multiobjective multi-dimensional transportation network is considered the extension of conventional two-dimensional transportation network and is convenient for dealing with transportation systems with multiple supply nodes, multiple demand nodes, as well as diverse modes of transportation demands or delivering multiple kinds of merchandises. In this study, we implement an improved Biogeography based optimization IBBO to the flow of the commodities of the main roads to main nodes in the North Western Coastal Strip of Egypt, where there are four main roads and three nodes. The proposed algorithm incorporates the dominance criteria to handle multiple objective functions which enable the decision maker to cover all the Pareto frontier of the problem which have a large-scale size. Numerical results were reported in order to establish the real computational burden of the proposed algorithm and to assess its convergence performances for solving real geographical problem.